This study provides new insights into the potential use of machine learning in hydrological simulations.
Falling prices and significant technology developments currently drive an increased weather-dependent electricity production from renewables. In light of the changing climate, it is relevant to investigate to what extent climate change directly impacts future highly weather-dependent electricity systems. Here, we use three IPCC CO 2 concentration pathways for the period 2006–2100 with six high-resolution climate experiments for the European domain.
